You've completely missed my point. A camera that could track in future at any room scale accurately without the need for separately purchased Lighthouses is a better solution for that scenario, or even going outdoors under the assumption of wireless headsets. What is lighthouses scalability into headsets or going wireless / outdoors - that is entirely unclear, and from what we know about how it works, it won't work in such a way. That is what I mean by there being merit in what Oculus does with optical tracking solutions now leading into 5 years on
The problem with camera tracking is one of scalability. To track larger areas you're going to need one of two things or possibly both.
1) The camera will need to scale in resolution and light sensitivity. The further away you go the greater probability you run into aliasing issues. To combat that you increase the resolution. Increasing the resolution you greatly increase the computation load required to detect constellation patterns. Adding more cameras also becomes very difficult as they all need centralized communication, thus no matter how good a solution you have you still run into occlusion problems.
2) The LED power on the headset will need to increase in larger areas/outdoors as IR can easily be lost on hot days or bright lights. This particular issue is the main issue faced by Lighthouse (but the LEDs are in a place where it is easier to accommodate more power).
Image processing algorithms certainly are useful, and their research is invaluable for a general use case, however it is a worse solution if you just want to track a known object in three dimensional space. Typically computer vision is applied when you need general image recognition and you cannot easily determine what object you want to track or the object isn't of fixed geometry. Valve started in the same place as Oculus with their QR code rooms, but their final solution is far more elegant.
I'm not sure how having a wireless headset changes things the main problems remain the same.